Climate change impacts and vulnerability in Europe 2016
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Multi-sectoral <strong>vulnerability</strong> <strong>and</strong> risks<br />
6.4.2 Trade: agricultural commodities<br />
In most parts of the world, the observed <strong>impacts</strong> of<br />
climate <strong>change</strong> on terrestrial food production have<br />
been predom<strong>in</strong>antly negative, <strong>in</strong> particular for maize<br />
<strong>and</strong> wheat (Porter et al., 2014). Over the past decade,<br />
there have been several periods of rapid food <strong>and</strong><br />
cereal market price <strong>in</strong>creases follow<strong>in</strong>g extreme<br />
weather events <strong>in</strong> key produc<strong>in</strong>g regions, highlight<strong>in</strong>g<br />
the sensitivity of world markets to climate extremes<br />
(Trostle et al., 2011; Nicholls <strong>and</strong> Kebede, 2012;<br />
Porter et al., 2014). These events have shown that<br />
climatic <strong>change</strong>s can have substantial consequences<br />
beyond the regions <strong>in</strong> which they occur through the<br />
global food trade system. <strong>Climate</strong>-<strong>in</strong>duced <strong>change</strong>s<br />
<strong>in</strong> global price levels for food <strong>and</strong> feed are of great<br />
importance for <strong>Europe</strong>, which relies to a considerable<br />
extent on imports to meet domestic dem<strong>and</strong> for food<br />
<strong>and</strong> feed (EEA, 2015). Increas<strong>in</strong>g price volatility could<br />
eventually lead to supply disruptions for agricultural<br />
commodities with high import dependency<br />
(e.g. soybean), whereby price <strong>change</strong>s for animal<br />
fodder would further affect meat production (Barnett<br />
et al., 2013).<br />
Several recent examples illustrate how climate<br />
<strong>impacts</strong> on agricultural production outside <strong>Europe</strong><br />
(EEA member <strong>and</strong> collaborat<strong>in</strong>g countries) have<br />
affected <strong>Europe</strong> via regional <strong>and</strong> global markets <strong>and</strong><br />
along <strong>in</strong>ternational supply cha<strong>in</strong>s. The severe heat<br />
wave <strong>in</strong> Russia <strong>in</strong> the summer of 2010 destroyed<br />
5.4 million hectares of crops, equivalent to about 30 %<br />
of Russia's gra<strong>in</strong> harvest. This led to an export ban on<br />
wheat by the Russian government that contributed<br />
to an <strong>in</strong>crease of 60–80 % <strong>in</strong> global wheat prices<br />
(Foresight, 2011; Coghlan et al., 2014). Similarly, a<br />
severe crisis <strong>in</strong> Australia's rice production <strong>in</strong> 2008<br />
after six consecutive years of drought contributed,<br />
<strong>in</strong> conjunction with other factors, to a doubl<strong>in</strong>g of<br />
the global market price of rice <strong>in</strong> 2008 (Stephan<br />
<strong>and</strong> Schenker, 2012). It is important to note that, <strong>in</strong><br />
both examples (Russian wheat <strong>and</strong> Australian rice),<br />
the observed global price volatilities resulted from<br />
a comb<strong>in</strong>ation of the extreme weather events <strong>and</strong><br />
the associated response measures (i.e. export ban<br />
<strong>and</strong> hoard<strong>in</strong>g stocks). This highlights the role that<br />
countries <strong>and</strong> markets play <strong>in</strong> either amplify<strong>in</strong>g or<br />
manag<strong>in</strong>g <strong>and</strong> m<strong>in</strong>imis<strong>in</strong>g the effects of climate<br />
<strong>impacts</strong> on food supply.<br />
The Mediterranean region <strong>in</strong> <strong>Europe</strong> has been<br />
identified as the most susceptible to shocks <strong>in</strong> the<br />
flow of agricultural commodities, ow<strong>in</strong>g to its relatively<br />
high dependence on food imports from regions<br />
outside <strong>Europe</strong> <strong>and</strong> the more prom<strong>in</strong>ent role of the<br />
food sector <strong>in</strong> its economy (Barnett et al., 2013).<br />
Moreover, low-<strong>in</strong>come population groups <strong>in</strong> all parts<br />
of <strong>Europe</strong> (<strong>and</strong> elsewhere <strong>in</strong> the world) are likely to<br />
be disproportionally more affected by food price<br />
volatilities (Porter et al., 2014; Vonk et al., 2015). An<br />
IPCC review of projected climate <strong>change</strong> <strong>impacts</strong> on<br />
crop production shows that negative <strong>impacts</strong> on yields<br />
are assumed to <strong>in</strong>crease dur<strong>in</strong>g the 21st century,<br />
especially <strong>in</strong> low-latitude regions (e.g. <strong>in</strong> Asia <strong>and</strong><br />
Africa), <strong>and</strong> that <strong>in</strong>terannual variability of crop yields<br />
is assumed to <strong>in</strong>crease as well, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong> <strong>Europe</strong><br />
(see also Section 5.3.4) (IPCC, 2014). Therefore,<br />
<strong>Europe</strong>'s susceptibility to price volatilities of agricultural<br />
commodities <strong>and</strong> disruptions of trade flows might<br />
further <strong>in</strong>crease <strong>in</strong> the future.<br />
6.4.3 Trade: non-agricultural commodities<br />
<strong>Europe</strong> is highly dependent on imports for many key<br />
resources; for example, 59 % of metal ores consumed<br />
<strong>in</strong> the EU-28 <strong>in</strong> 2013 were imported (EEA, 2015). This<br />
means that <strong>Europe</strong>'s access to many resources <strong>and</strong><br />
raw materials relies on exploitations <strong>in</strong> other world<br />
regions <strong>and</strong> associated <strong>in</strong>ternational supply cha<strong>in</strong>s,<br />
which <strong>in</strong> turn may be significantly affected by climate<br />
<strong>change</strong> <strong>impacts</strong> (Nicholls <strong>and</strong> Kebede, 2012). As seen <strong>in</strong><br />
Map 6.5, a substantial number of <strong>Europe</strong>'s major trade<br />
partners (e.g. India, Indonesia, Nigeria <strong>and</strong> Vietnam) are<br />
estimated to exhibit an overall <strong>vulnerability</strong> to climate<br />
<strong>change</strong> ( 122 ) that is larger than <strong>in</strong> any <strong>Europe</strong>an country.<br />
For example, primary <strong>and</strong> manufactur<strong>in</strong>g <strong>in</strong>dustries can<br />
be affected by extreme climate events through <strong>impacts</strong><br />
on <strong>in</strong>frastructure or transport (see Section 6.4.4).<br />
An example of an <strong>in</strong>direct effect through a supply<br />
cha<strong>in</strong> to <strong>Europe</strong> is the shortage of hard drives <strong>and</strong><br />
the associated <strong>in</strong>crease <strong>in</strong> price levels caused by a<br />
severe flood event <strong>in</strong> Thail<strong>and</strong> <strong>in</strong> 2011 (Nicholls <strong>and</strong><br />
Kebede, 2012). Another recent event that disrupted<br />
<strong>in</strong>ternational trade <strong>and</strong> commodity flows was the flood<br />
event <strong>in</strong> eastern Australia <strong>in</strong> 2010/11, which restricted<br />
various m<strong>in</strong><strong>in</strong>g activities <strong>and</strong> damaged key transport<br />
<strong>in</strong>frastructures. This led to drastic decl<strong>in</strong>es <strong>in</strong> coal<br />
( 122 ) The <strong>vulnerability</strong> score of the Notre Dame Global Adaptation Index (ND-GAIN; Chen et al., 2015) follows the outcome-based conceptualisation<br />
of <strong>vulnerability</strong> as used by the IPCC AR3 <strong>and</strong> AR4 (see Section 1.4 for details). The <strong>in</strong>dex consists of 12 <strong>in</strong>dicators on projected biophysical<br />
climatic exposure (mostly for a time period around the middle of the century <strong>and</strong> the RCP4.5 scenario), 12 <strong>in</strong>dicators on climatic sensitivity<br />
<strong>and</strong> 12 <strong>in</strong>dicators on adaptive capacity, each associated with six different sectors (food, water, health, ecosystem services, human habitat<br />
<strong>and</strong> <strong>in</strong>frastructure). Another example of an <strong>in</strong>dicator-based global assessment is the World Risk Index (Birkmann <strong>and</strong> Welle, 2015; Welle <strong>and</strong><br />
Birkmann, 2015).<br />
290 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report